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environment.yml
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environment.yml
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# Full environment
# You only need to install this if you are using every part of this framework.
# Most optional packages are imported lazily.
# Usually you will be notified if you're missing a specific optional package.
# Non optional:
# - PyTorch + Torchvision + scipy
# - Hydra-core + lpips
# If using text: huggingface (transformers, datasets, tokenizers)
name: breaching
channels:
- pytorch
- huggingface
- defaults
dependencies:
- python=3.9
- cudatoolkit=11.3
- pytorch=1.10.1
- torchvision
- notebook
- jupyter
- matplotlib
- python-lmdb
- scikit-learn
- scikit-image
- tensorboard
- torchtext
- transformers
- datasets
- tensorflow
- nltk
- pip
- cython
- scipy
- pip:
- hydra-core
- kornia
- lpips
- git+https://github.com/fbcotter/pytorch_wavelets
- rouge-score
- sacrebleu
- timm
- ortools
- kmedoids
- k-means-constrained --no-binary 0.6.0 # this can be a pain ;>
# You can try a combination of:
# pip install k-means-constrained --no-cache-dir --no-binary 0.6.0 --no-build-isolation --no-deps --force-reinstall
# to install this package manually